Introductory Papers and Guides

Original Paper on DCA

https://pubmed.ncbi.nlm.nih.gov/17099194/

Extensions to DCA

General Introduction to DCA

https://pubmed.ncbi.nlm.nih.gov/26810254/

How to Understand a Decision Curve

https://diagnprognres.biomedcentral.com/articles/10.1186/s41512-019-0064-7

Guide for Investigators on Reporting Decision Curves

https://www.sciencedirect.com/science/article/pii/S0302283818306407?via%3Dihub

Extensions to DCA

Applications to Survival Time Data among others

https://pubmed.ncbi.nlm.nih.gov/19036144/

DCA & Treatment Response: Model Evaluation

https://pubmed.ncbi.nlm.nih.gov/17550609/

DCA & Treatment Response: Trial Design

https://pubmed.ncbi.nlm.nih.gov/17022818/

Discussion Papers and Theoretical Background

General Theoretical Background to DCA

https://pubmed.ncbi.nlm.nih.gov/19132141/ https://pubmed.ncbi.nlm.nih.gov/20172362/

Mathematical Underpinnings of DCA through Relationship to Relative Utility (Similar Method)

https://pubmed.ncbi.nlm.nih.gov/20069131/

Widely Cited First Prediction Model Evaluation Paper to Introduce 3-Step Approach of Discrimination, Calibration, Clinical Utility

https://pubmed.ncbi.nlm.nih.gov/20010215/

Editorials and Commentaries Recommending DCA in Major Journals

Editorials recommending DCA Published in Major Journals

https://pubmed.ncbi.nlm.nih.gov/27247223/

Editorials recommending DCA Published in Major Journals

https://pubmed.ncbi.nlm.nih.gov/26810254/

Editorials recommending DCA Published in Major Journals

https://pubmed.ncbi.nlm.nih.gov/25626037/

Editorials recommending DCA Published in Major Journals

https://pubmed.ncbi.nlm.nih.gov/22910942/

Editorials recommending DCA Published in Major Journals

https://www.acpjournals.org/doi/10.7326/M22-0844

Editorials recommending DCA Published in Major Journals

https://www.nature.com/articles/s41746-021-00549-7

Newly Added

Paper

https://pubmed.ncbi.nlm.nih.gov/30819037/

Christodoulou E, et al. 

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models. J Clin Epidemiol 2019;110:12–22.

Jung K, et al. 

A framework for making predictive models useful in practice. J Am Med Inform Assoc 2021; 28 (6): 1149–58.

Calculating net benefit under resource constraints

Journal of the American Medical Informatics Association, Singh, Karandeep, February 22, 2023.

https://academic.oup.com/jamia/advance-article-abstract/doi/10.1093/jamia/ocad006/7051008?utm_source=advanceaccess&utm_campaign=jamia&utm_medium=email

R code for calculating net benefit under resource constraints

https://github.com/ML4LHS/modelrecon

Andrew’s Suggested Paper

doi:10.7326/M22-0844

Link from DCA site

https://www.fharrell.com/post/edca/

Paper Recommending DCA for Evaluating Machine Learning Prediction Studies

https://www.sciencedirect.com/science/article/pii/S0895435623000550